Validity of the Interest-and Deprivation-Type Epistemic Curiosity Model in Germany

2013 ◽  
Vol 34 (2) ◽  
pp. 59-68 ◽  
Author(s):  
Jordan A. Litman ◽  
Patrick Mussel
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Convergent Validity ◽  
Factor Model ◽  
Intellectual Stimulation ◽  
Confirmatory Factor ◽  
Competing Models ◽  
Epistemic Curiosity ◽  
Best Fit

Three studies were conducted to evaluate the validity of the interest (I) and deprivation (D) type epistemic curiosity (EC) distinction in three German samples. In Study 1 (N = 395) and Study 2 (N = 191), responses to German translations of the Epistemic Curiosity Scale and the Curiosity as a Feeling-of-Deprivation Scale were submitted to confirmatory factor analysis. The previously found 10-item 2-factor model ( Litman, 2008 ; Litman, Crowson, & Kolinski, 2010 ) had the best fit compared to competing models. In Study 1, Study 2, and Study 3 (N = 249), the I- and D-type EC scales correlated positively with intellectual stimulation measures, providing evidence of convergent validity. I-type EC correlated with enjoying new discoveries and ideas, whereas D-type EC was associated with persistence and solving problems, providing evidence of discrimination.

Pervasive Developmental Disorders Rating Scale: Development and Construct Validity

2005 ◽  
Vol 97 (1) ◽  
pp. 245-257
Author(s):  
Thomas O. Williams ◽  
Ronald C. Eaves
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Autistic Disorder ◽  
Pervasive Developmental Disorders ◽  
Developmental Disorders ◽  
Rating Scale ◽  
Factor Model ◽  
Confirmatory Factor ◽  
Competing Models

The Pervasive Developmental Disorders Rating Scale was designed for use in screening of pervasive developmental disorders. This paper describes the rationale and development of the scale and assesses its construct validity with ratings from a sample of 362 children ranging in age from 1 to 12 years and diagnosed with autistic disorder. The hypothesized heirarchical factor model and two competing models were examined through confirmatory factor analysis. The analysis supported the factor structure of the hypothesized model in this particular sample of children with autistic disorder. Limitations and areas for research are discussed.

scholarly journals The School Counselor STEM Advocacy Survey (SC-STEM-AS)

2021 ◽  
Vol 25 (1) ◽  
pp. 2156759X2110231
Author(s):  
Robert R. Martinez ◽  
Sejal Parikh Foxx ◽  
Jacob Olsen ◽  
Stephen D. Kennedy
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
School Counselors ◽  
Factor Structure ◽  
Convergent Validity ◽  
School Counselor ◽  
Factor Model ◽  
National Sample ◽  
Confirmatory Factor ◽  
Good Internal Consistency

We examined data from a national sample of 917 school counselors to determine the factor structure of the School Counselor STEM Advocacy Survey. An exploratory and confirmatory factor analysis supported use of the two-factor model. Survey scores demonstrated good internal consistency and convergent validity. We discuss differences between key demographics and school counselors.

Confirmatory Factor Analysis of the Computer Hassles Scale

1998 ◽  
Vol 83 (3) ◽  
pp. 883-890
Author(s):  
Richard A. Hudiburg
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Model ◽  
A Priori ◽  
Latent Structure ◽  
Fit Indices ◽  
Normative Database ◽  
Confirmatory Factor ◽  
Best Fit

The objective of this research was to determine the latent structure of the Computer Hassles Scale using confirmatory factor analysis. This study employed a normative database of 1199 student computer users. Both a priori and a posteriori latent structure models were tested using LISREL. The analyses did not support a latent structure of the scale based on the scale's original two-factor definition. Using various goodness-of-fit indices, a four-factor model was the best fit.

scholarly journals Role of personality traits in the adjustment to diversity

2013 ◽  
Vol 6 (1) ◽  
pp. 58-77
Author(s):  
Syed Shameem Ejaz ◽  
Anjum Ara
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Confirmatory Factor ◽  
Cutoff Points ◽  
Best Fit

This article discusses the ‘Scale for the Assessment of Adjustment to Diversity (SAAD)’.The scale measures the individual’s adjustment levels to diverse situations. Adjusting to diverse situations requires extra efforts by individuals, sometimes these efforts fall short and the situation remains invincible. We assumed that there are personality traits (BITPC)1 responsible for success or failure in the adjustment to diverse situations. This five-factor model was evaluated in five diverse (SOGER)2 situations. A CFA, run on the results obtained from 444 (n) individuals, reveals a not converging five-factor model. However, after running CFA – (Confirmatory Factor Analysis) for all possible permutations the BIP – (Broadmindedness, Insight, and Patience), a 3 factor model was found to be the best fit on cutoff points when two top ranked situations were taken into consideration.

Assessing the Big Five

2006 ◽  
Vol 214 (3) ◽  
pp. 133-149 ◽  
Author(s):  
Ralf Schulze ◽  
Richard D. Roberts
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Big Five ◽  
Convergent Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Big Five Personality ◽  
Item Pool ◽  
Confirmatory Factor ◽  
Initial Item

Abstract. A new measure of the Big Five personality constructs, the Openness Conscientiousness Extraversion Agreeableness Neuroticism Index Condensed (OCEANIC), was developed and validated. In Study 1 (N = 166), the convergent validity with the Big Five as assessed by the NEO-FFI was established. Study 2 (N = 3 808) served to investigate the structure of the instrument with stepwise exploratory factor analysis and confirmatory factor analysis. The incremental predictive validity with respect to objective university grades was examined in Study 3 (N = 145). The results show that a) the scales of the initial item pool converge with those of an established measure of the Big Five, b) the Big Five factor model fits the data both at the item and facet level and both for subsamples of students and workers, and c) consistent with previous research, the Conscientiousness factor of the OCEANIC predicts university grades beyond intelligence measures.

scholarly journals Assessing the psychometric properties of the behavior and instructional management scale: A study on a sample of Serbian teachers

Psihologija ◽  
2020 ◽  
Vol 53 (2) ◽  
pp. 129-144
Author(s):  
Stefan Ninkovic ◽  
Olivera Knezevic-Floric
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Classroom Management ◽  
Psychometric Properties ◽  
Convergent Validity ◽  
Factor Model ◽  
Instructional Management ◽  
Confirmatory Factor ◽  
Adequate Internal Consistency ◽  
Teacher Classroom

The Behavior and Instructional Management Scale (BIMS) was developed to assess the bidimensional construct of classroom management. The purpose of this study was to evaluate the factor structure and psychometric properties of the BIMS using Serbian teachers. Confirmatory factor analysis was conducted on the data collected from a sample of 660 teachers, with results supporting a two-factor model of the BIMS. Both subscales of the BIMS demonstrated adequate internal consistency. Furthermore, results indicated that the two-factor model of the scale has good convergent validity. In conclusion, the BIMS can be recommended to researchers interested in measuring teacher classroom management in Serbia.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

2019 ◽  
Vol 4 (3) ◽  
pp. 173-186 ◽  
Author(s):  
Mia Pépin ◽  
Linda Kwakkenbos ◽  
Marie-Eve Carrier ◽  
Sandra Peláez ◽  
Ghassan El-Baalbaki ◽  
...  
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Systemic Sclerosis ◽  
North America ◽  
Confirmatory Factor Analysis ◽  
Support Groups ◽  
Support Group ◽  
Factor Model ◽  
The United States ◽  
Confirmatory Factor

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

Psychometric Properties of the Modified Social Environment Questionnaire in Chinese Older Adults

2018 ◽  
Vol 26 (4) ◽  
pp. 530-536 ◽  
Author(s):  
Ka-Man Leung ◽  
Pak-Kwong Chung ◽  
Tin-Lok Yuen ◽  
Jing Dong Liu ◽  
Donggen Wang
Keyword(s):  
Older Adults ◽  
Factor Analysis ◽  
Hong Kong ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Social Environment ◽  
Convergent Validity ◽  
Confirmatory Factor ◽  
Test Retest Reliability

This study evaluated the psychometric properties of a Chinese version of the 24-item Social Environment Questionnaire (SEQ-C). Confirmatory factor analysis was used to examine the factor validity and measurement invariance (Purpose 1) of the SEQ-C in 453 older adults in Hong Kong. Convergent validity (Purpose 2) and test–retest reliability (Purpose 3) were also measured. The results of the confirmatory factor analysis and measurement invariance supported the four-factor structure (representing companionship, encouragement, neighborhood social cohesion, and role models) of the SEQ-C, in a 15-item model that closely fitted the data. The SEQ-C was also found to have acceptable to satisfactory internal consistency, test–retest reliability, composite reliability, and moderate convergent validity in correlating perceived social support. This study showed that the SEQ-C is a suitable means of measuring the social environments of older adults in Hong Kong.

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